Displaying 4 results from an estimated 4 matches for "entrezgen".
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entrezgene
2007 Jan 26
0
[BioC] problem with biomaRt getHomolog function
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-----Original Message-----
From: Steffen Durinck [mailto:durincks at mail.nih.gov]
Sent: Friday, January 26, 2007 9:24 AM
To: Kimpel, Mark William
Cc: bioconductor at stat.math.ethz.ch
Subject: Re: [BioC] problem with biomaRt getHomolog function
Hi Mark,
I think the rat entrezgene id 613226 is a recently added entrezgene id
and is not yet available in Ensembl. Ensembl updates every two months
and the last update of entrezgene id 613226 appears to be December 26 of
2006. So this might be the reason.
Also I would suggest you use the developmental version of biomaRt
(bio...
2013 May 07
1
Problem with biomaRt::getSequence.
Hi,
I can run the code some days ago . But cant run now.
Problem 1: Output is ok
ensembl = useDataset("hsapiens_gene_ensembl",mart=ensembl)
utr5 = getSequence(chromosome=3, start=185514033, end=185535839, type="entrezgene",seqType="5utr", mart=ensembl)
Output :
5utr entrezgene
Sequence unavailable 10644
...
2010 Nov 25
0
[libsvm] predict function error
...uot;,"VEH","VEH","VEH","LPS","LPS","LPS","LPS","LPS"))
> tf=t(f)
> colnames(tf)=tf[1,]
> tf=tf[-1,]
> tf=as.data.frame(tf)
> array <- apply(tf[,2:24928],c(1,2),as.numeric)
> label <- as.factor(tf$ENTREZGENE)
>
> n <- nrow(array) #get sample number
> permutation <- sample(1:n)
> array.perm <- array[permutation,] # random permutation of samples
> label.perm <- label[permutation] # same permutation of labels
>
> k <- 5 #set cross validation steps
>
> for (i in 1...
2013 Oct 27
2
Heteroscedasticity and mgcv.
I have a two part question one about statistical theory and the other
about implementations in R. Thank you for all help in advance.
(1) Am I correct in understanding that Heteroscedasticity is a problem for
Generalized Additive Models as it is for standard linear models? I am
asking particularly about the GAMs as implemented in the mgcv package.
Based upon my online search it seems that some